Nikhitha Shivaswamy
Papers
1
Total Citations
2
H-Index
1
About
Nikhitha Shivaswamy is a researcher whose work lies at the intersection of computer vision and autonomous robotics, with a particular focus on enabling perception in extreme environments. Her most cited paper, "Learning Visual Free Space Detection for Deep-Diving Robots" (2021), addresses a critical challenge in underwater robotics: how to identify traversable, obstacle-free space in the deep ocean where traditional sensors fail. By leveraging deep learning techniques, Shivaswamy’s approach allows deep-diving robots to navigate safely through visually complex and poorly lit environments, advancing the autonomy of submersible vehicles for exploration, inspection, and scientific data collection. Though her citation count is modest, her contributions are notable for their practical impact on a niche but vital domain—deep-sea robotics—where reliable perception is often a bottleneck. Her work demonstrates a commitment to solving real-world problems at the frontier of robotics, making her a promising voice in the field of visual perception for autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1Learning Visual Free Space Detection for Deep-Diving Robots2 citations · 2021